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Microsoft Technology Specialist - Data & AI 
Taiwan, Taoyuan City 
205464799

03.04.2025
Qualifications
  • Technical pre-sales or technical consulting experience
  • Certification in relevant technologies or disciplines (e.g., Microsoft Fabric, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture)
  • Bachelor's Degree in Computer Science, Information Technology, or related field
  • Master's Degree in Computer Science, Information Technology
Responsibilities
  • Own technical discussions with customers leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the customer vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.
  • Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, prevent, and remove technical blockers, and validating a strong business case for investment and translate technology complexity into business impact and work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Intelligent Data and Analytics platform for their needs.
  • Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive POCs/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.
  • Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customerengagement and handing off to the Solution Specialist for pursuit.
  • Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft Intelligent Data and Analytics platform evangelist inclusive of new Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and AI solutions.
  • Be the Voice of Customer to share insights and best practices with GBB and Engr, to remove key blockers and drive product improvements.
  • Maintain and grow expertise in Analytics, Data warehousing, Data Engineering, Data Science, and AI scenarios including Intelligent Data and Analytics Platform (Lakehouse architecture, Microsoft Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.